Evidence map›Paper›PMID 36825121›Full record

ArticleThe Pan African medical journal2022

Gender difference in the association between gout at diagnosis and metabolic syndrome in African population: a retrospective cohort study.

Fernando Kemta Lekpa, Francine Same Bebey, Isabel Bouallo, Sylvain Raoul Simeni Njonnou, Henry Namme Luma, Madeleine Singwe-Ngandeu, Simeon-Pierre Choukem

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Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fernando Kemta LekpaRheumatology Unit, Department of Internal Medicine, Douala General Hospital, Douala, Cameroon.
Francine Same BebeyDepartment of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon.
Isabel BoualloRheumatology Unit, Department of Internal Medicine, Douala General Hospital, Douala, Cameroon.
Sylvain Raoul Simeni NjonnouDepartment of Internal Medicine and Specialties, Faculty of Medicine and Pharmaceutical Sciences, University of Dschang, Dschang, Cameroon.
Henry Namme LumaRheumatology Unit, Department of Internal Medicine, Douala General Hospital, Douala, Cameroon.
Madeleine Singwe-NgandeuDepartment of Internal medicine and subspecialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon.
Simeon-Pierre ChoukemRheumatology Unit, Department of Internal Medicine, Douala General Hospital, Douala, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: few studies have specifically investigated the link between metabolic syndrome (MetS) and gout in sub-Saharan Africa. This report aimed to evaluate in patients with gout the association between gout at diagnosis and MetS and to assess the gender difference. Methods: we performed a single-centre retrospective cohort study on all outpatients seen in the Rheumatology Unit of the General Hospital, Douala, Cameroon. We included records of patients with a recent diagnosis of gout according to the American College of Radiology (ACR) criteria. MetS was defined according to the harmonized criteria. Results: we included 511 patients (415 men), with a mean age at diagnosis of 55.9 ±10.8 years. Women were older than men. The mean serum uric acid was 8.24±2.23 mg/L, with hyperuricemia found in 394 patients (77.1%). MetS was present in 101 patients (19.7% [95% CI: 16.8%-22.1%]), significantly more common in men compared to women (23.6% vs. 10.8%; p<0.001). The main components of the MetS were: increased waist circumference (217 patients, 61.3%), obesity (256 patients, 52.2%), hypertension (208 patients, 40.7%), and diabetes mellitus (52 patients, 10.2%). Furthermore, hypertension, diabetes mellitus, obesity, and increased waist circumference were more frequent in women (p<0.001). There was no difference in dyslipidemia according to gender. The combination of components of the MetS was more frequent in men than women (p<0.001). Conclusion: MetS are common in newly diagnosed Cameroonian patients with gout, with increased waist circumference, obesity, hypertension and diabetes mellitus being the main components. These components are more common in women, but their combination was more frequent in men.

Indexed as

GoutHypertensionMetabolic SyndromeAgedCameroonFemaleHumansMaleMiddle AgedObesityRetrospective StudiesRisk FactorsSex FactorsUric AcidWaist CircumferenceUric AcidfemaleGouthyperuricemiametabolic syndrome

Identifiers

PMID36825121
PMCPMC9941612

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.